Gene Expression and Alternative Splicing Analysis in a Large-Scale Multiple Sclerosis Study.

Int J Mol Sci

Kentucky IDeA Networks of Biomedical Research Excellence Bioinformatics Core, Department of Biochemistry and Molecular Genetics, University of Louisville, Louisville, KY 40292, USA.

Published: November 2024

Multiple Sclerosis (MS) is an autoimmune neurodegenerative disease affecting approximately 3 million people globally. Despite rigorous research on MS, aspects of its development and progression remain unclear. We utilized a publicly available RNA-seq dataset (GSE138614) consisting of the post-mortem white matter tissues of five donors without any neurological disorders and ten MS patient donors. We investigated gene expression levels correlated with tissue inflammation and alternative splicing to identify possible pathological isoforms in MS tissues. We identified RNA-binding motifs, differentially expressed RNA-binding proteins, and single-nucleotide polymorphisms (SNPs) to unravel possible mechanisms of alternative splicing. Genes with expression changes that were positively correlated with tissue inflammation were enriched in the immune system and receptor interaction pathways. Genes showing a negative correlation were enriched in nervous system development and in metabolic pathways. A comparison of normal-appearing white matter (NAWM) and active or chronic active lesions within the same donors identified genes playing roles in immunity, white matter injury repair, and remyelination. We identified exon skipping events and spontaneous SNPs in membrane-associated ring-CH-type finger-1 (), UDP glycosyltransferase-8 (), and other genes important in autoimmunity and neurodegeneration. Overall, we identified unique genes, pathways, and novel splicing events that can be further investigated as potential novel drug targets for MS treatment.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11593658PMC
http://dx.doi.org/10.3390/ijms252211957DOI Listing

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